Results 161 to 170 of about 10,117 (291)

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis   +7 more
wiley   +1 more source

A Semantic Segmentation Network for Colorectal Polyp Images With Progressive Fusion of Dual‐Branch Features

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground–background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly
Tianxu Yan   +8 more
wiley   +1 more source

GlomNet: glomeruli segmentation network for WSI with diverse staining protocols for kidney disease diagnosis. [PDF]

open access: yesFront Med (Lausanne)
Hameed W   +5 more
europepmc   +1 more source

Video Super‐Resolution via Effective Spatio‐Temporal Alignment Network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Extracting spatio‐temporal cues from neighbouring frames is challenging in video super‐resolution (VSR). Although deformable alignment‐based VSR methods have shown promise in aligning neighbouring frames with the reference frame, most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio‐temporal ...
Bin Guo   +7 more
wiley   +1 more source

Identification of input-output maps for bilinear discrete-time state-space models

open access: yes, 2012
This paper presents a formulation to identify the input-output maps of discrete- time bilinear state-space models. The new method uses input-output data from one experiment, and the input data need not be of special types such as extended pulses.
Čelik, Haris,, Phan, M. Q.
core  

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

open access: yesEnergy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang   +7 more
wiley   +1 more source

Robust bilinear rotations II. [PDF]

open access: yesMagn Reson (Gott)
Woordes YT, Luy B.
europepmc   +1 more source

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